Instructions to use cagataydev/loopl-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cagataydev/loopl-2b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="cagataydev/loopl-2b")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("cagataydev/loopl-2b")
model = AutoModelForMultimodalLM.from_pretrained("cagataydev/loopl-2b", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use cagataydev/loopl-2b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cagataydev/loopl-2b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cagataydev/loopl-2b",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/cagataydev/loopl-2b

SGLang

How to use cagataydev/loopl-2b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "cagataydev/loopl-2b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cagataydev/loopl-2b",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "cagataydev/loopl-2b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cagataydev/loopl-2b",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use cagataydev/loopl-2b with Docker Model Runner:
```
docker model run hf.co/cagataydev/loopl-2b
```

cagataydev commited on 27 days ago

Commit

b9e4648

verified ·

1 Parent(s): ca542a9

card: loopl 2B v1.2 (bf16) — train/cards.py

Browse files

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -24,9 +24,9 @@ tags:
   <a href="https://loopl.dev"><img src="https://huggingface.co/cagataydev/loopl-2b/resolve/main/assets/banner.png" alt="loopl — Agents that run on your phone." width="100%"></a>
 </p>
-<div align="center" style="display:flex;flex-wrap:wrap;gap:6px;justify-content:center"><a href="https://huggingface.co/cagataydev/loopl-2b/blob/main/README.md#license"><img alt="license: Apache 2.0" src="https://img.shields.io/badge/license-Apache%202.0-5d5d63?style=flat-square&labelColor=0b0b0c"></a> <img alt="bf16: transformers · 4.43 GB" src="https://img.shields.io/badge/bf16-transformers%20%C2%B7%204.43%20GB-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="vision: ✓ 297 tensors kept" src="https://img.shields.io/badge/vision-%E2%9C%93%20297%20tensors%20kept-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="tool calling: native + loopl JSON" src="https://img.shields.io/badge/tool%20calling-native%20%2B%20loopl%20JSON-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="params: 2B" src="https://img.shields.io/badge/params-2B-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="version: v1" src="https://img.shields.io/badge/version-v1-5d5d63?style=flat-square&labelColor=0b0b0c"> <a href="https://testflight.apple.com/join/uUNjfzW9"><img alt="Get it on: TestFlight" src="https://img.shields.io/badge/Get%20it%20on-TestFlight-ff5a1f?style=flat-square&labelColor=0b0b0c&logo=apple&logoColor=white"></a> <a href="https://loopl.dev"><img alt="site: loopl.dev" src="https://img.shields.io/badge/site-loopl.dev-c2410c?style=flat-square&labelColor=0b0b0c"></a> <a href="https://huggingface.co/collections/cagataydev/loopl-on-device-agents-swift-6ac51395b13a9c41d4932eaf"><img alt="collection: 6 models" src="https://img.shields.io/badge/collection-6%20models-c2410c?style=flat-square&labelColor=0b0b0c"></a></div>
-# loopl 2B · v1
 **An agent that lives on your phone.** loopl runs the model, the loop and the tools on the device. It talks, uses the
 phone, asks before it acts — and works with the network off. This repo is the merged bf16 weights — **the base for *Train your own*** — of the
@@ -52,10 +52,10 @@ phone, asks before it acts — and works with the network off. This repo is the
 | probe | this model | previous (v1) | base Qwen3.5 4-bit |
 |---|---:|---:|---:|
-| agent-SDK knowledge quiz (first 472 questions, exact-answer) | **99** | — | 56 |
-| tool calls, native template dialect | **9/9** | — | 7/9 |
-| tool calls, loopl JSON dialect | **9/9** | — | 5/9 |
-| identity (5 classic probes, with system prompt) | **5/5** | — | 4/5 |
 | identity · bio facts (8, with system prompt) | **8/8** | — | — |
 | identity · **no system prompt** (13) | **12/13** | — | — |

   <a href="https://loopl.dev"><img src="https://huggingface.co/cagataydev/loopl-2b/resolve/main/assets/banner.png" alt="loopl — Agents that run on your phone." width="100%"></a>
 </p>
+<div align="center" style="display:flex;flex-wrap:wrap;gap:6px;justify-content:center"><a href="https://huggingface.co/cagataydev/loopl-2b/blob/main/README.md#license"><img alt="license: Apache 2.0" src="https://img.shields.io/badge/license-Apache%202.0-5d5d63?style=flat-square&labelColor=0b0b0c"></a> <img alt="bf16: transformers · 4.43 GB" src="https://img.shields.io/badge/bf16-transformers%20%C2%B7%204.43%20GB-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="vision: ✓ 297 tensors kept" src="https://img.shields.io/badge/vision-%E2%9C%93%20297%20tensors%20kept-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="tool calling: native + loopl JSON" src="https://img.shields.io/badge/tool%20calling-native%20%2B%20loopl%20JSON-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="params: 2B" src="https://img.shields.io/badge/params-2B-5d5d63?style=flat-square&labelColor=0b0b0c"> <img alt="version: v1.2" src="https://img.shields.io/badge/version-v1.2-5d5d63?style=flat-square&labelColor=0b0b0c"> <a href="https://testflight.apple.com/join/uUNjfzW9"><img alt="Get it on: TestFlight" src="https://img.shields.io/badge/Get%20it%20on-TestFlight-ff5a1f?style=flat-square&labelColor=0b0b0c&logo=apple&logoColor=white"></a> <a href="https://loopl.dev"><img alt="site: loopl.dev" src="https://img.shields.io/badge/site-loopl.dev-c2410c?style=flat-square&labelColor=0b0b0c"></a> <a href="https://huggingface.co/collections/cagataydev/loopl-on-device-agents-swift-6ac51395b13a9c41d4932eaf"><img alt="collection: 6 models" src="https://img.shields.io/badge/collection-6%20models-c2410c?style=flat-square&labelColor=0b0b0c"></a></div>
+# loopl 2B · v1.2
 **An agent that lives on your phone.** loopl runs the model, the loop and the tools on the device. It talks, uses the
 phone, asks before it acts — and works with the network off. This repo is the merged bf16 weights — **the base for *Train your own*** — of the
 | probe | this model | previous (v1) | base Qwen3.5 4-bit |
 |---|---:|---:|---:|
+| agent-SDK knowledge quiz (first 472 questions, exact-answer) | **99** | 88 | 56 |
+| tool calls, native template dialect | **9/9** | 9/9 | 7/9 |
+| tool calls, loopl JSON dialect | **9/9** | 8/9 | 5/9 |
+| identity (5 classic probes, with system prompt) | **5/5** | 4/5 | 4/5 |
 | identity · bio facts (8, with system prompt) | **8/8** | — | — |
 | identity · **no system prompt** (13) | **12/13** | — | — |